We know that you are our most valuable asset and supporting and driving your professional growth is important to us. Welcome to the next stop on the road in continuing with a rewarding career with Caliber Collision!
Senior Business Intelligence Analyst
Job Summary
Create, maintain, and optimize ETL processes used to prepare data for Predictive Analytics, reporting and ad-hoc data requests. Support analysts by providing extracted data that can be used to deliver end-to-end solutions to business problems that can be developed rapidly and maintained easily. Develop and evaluate machine learning models using medium/large data-sets and cloud services to drive the growth of all the Caliber Brands.
Role and Responsibilities
? Be a forward-facing business intelligence partner specializing in predictive analytics.
? Data Transformation and Integration: Extract Structured & Unstructured data from internal databases and external data sources.
? Creates data pipelines and transform data to a structure that is relevant the Machine Learning model(s). These may be in design phase or for model deployment into production.
? Develop knowledge of current data science and analytics trends.
? While we are a part of the Finance Department, we support projects and change management initiatives across all of Caliber (Operations, Human Resources, Marketing, Compensation, IT, Finance, etc.).
? Deploy Machine learning model results into Power BI reports or internal intranets.
? Understand and use concepts of model validation, Machine Learning data biasing and data leakage.
? Know the difference between Data science, business analytics and data engineering.
? Can effectively communicate ML model interpretability from the results.
? Support the Finance organization in building the roles, skills, processes, and collaboration with other teams necessary to improve Predictive Analytics solutions.
? Help in managing Machine Learning tools, deployment, and data analytics systems while upholding the governance, security, consistency, integrity, and accuracy of all end-user data.
Qualifications and Education Requirements
? Bachelor's degree in Math, Finance, Business Analytics, Engineering or STEM related field, or equivalent work experience, or equivalent combination of education and experience.
? Master's degree/MSBA/MBA/MIS or PhD would be considered a plus.
? 1-2 years of experience in developing business solutions combining Machine Learning, business intelligence, dashboards, and reporting, and/or process improvement & automation with progressive growth in responsibility and scope, using expert knowledge such as data warehouse, data lakes, databases, ETL, reporting tools, data analytics, data modeling.
? Experience with RapidMiner, Alteryx, IBM Watson, SAS Advanced Analytics, Python/R a plus
? Knowledge in data mining, machine learning, artificial intelligence, predictive analytics, and/or big data.
? High standards of Data governance, accuracy, precision, and organization.
? Understanding of Finance and Accounting methodologies, concepts, and principles a plus.
? Understanding of systems and methods to access underlying data and prepare reports.
? Demonstrated ability to turn end-user requirements into actionable tools and insights.
? Experience in data modeling with SSMS, Microsoft Power BI, Power Pivot and/or SSAS Tabular.
? Relevant experience with Microsoft Excel, data modeling and data visualization tools.
? Willingness to work closely with field operations, other teams, and all management levels.
? Articulate with adequate verbal and written communication skills.
? Ability to think creatively, highly driven, and self-motivated.
? Ability to succeed in an entrepreneurial atmosphere and willingness to dig for information.
? Comfortable in a high growth and strong customer service environment.
